Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.
Article
Google Scholar
Akyol, Z., & Garrison, D. R. (2008). The development of a community of inquiry over time in an online course: Understanding the progression and integration of social, cognitive and teaching presence. Journal of Asynchronous Learning Networks, 12(3–4), 3–22.
Google Scholar
Annand, D. (2011). Social presence within the community of inquiry framework. International Review of Research in Open and Distance Learning, 12(5), 40–56.
Article
Google Scholar
Arbaugh, J. B. (2007). An empirical verification of the community of inquiry framework. Journal of Asynchronous Learning Networks, 11(1), 73–85.
Google Scholar
Arbaugh, J. B., Cleveland-Innes, M., Diaz, S. R., Garrison, D. R., Ice, P., Richardson, J. C., & Swan, K. P. (2008). Developing a community of inquiry instrument: Testing a measure of the community of inquiry framework using a multi-institutional sample. The Internet and Higher Education, 11(3–4), 133–136.
Article
Google Scholar
Archibald, D. (2010). Fostering the development of cognitive presence: Initial findings using the community of inquiry survey instrument. Internet & Higher Education, 13(1–2), 73–74.
Article
Google Scholar
Barnard-Bark, L., Burley, H., & Crooks, S. M. (2010). Explaining youth mentoring behavior using theory of planned behavior perspective. International Journal of Adolescence and Youth, 15, 365–379.
Article
Google Scholar
Boelens, R., De Wever, B., & Voet, M. (2017). Four key challenges to the design of blended learning: A systematic literature review. Educational Research Review, 22, 1–18.
Article
Google Scholar
Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24–32.
Article
Google Scholar
Che-Ha, N., Mavondo, F. T., & Mohd-Said, S. (2014). Performance or learning goal orientation: Implications for business performance. Journal of Business Research, 67(1), 2811–2820.
Article
Google Scholar
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054–1064.
Article
Google Scholar
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
Google Scholar
Cho, M. H., Kim, Y., & Choi, D. H. (2017). The effect of self-regulated learning on college students’ perceptions of community of inquiry and affective outcomes in online learning. Internet & Higher Education, 34, 10–17.
Article
Google Scholar
Collis, B., & Moonen, J. (2012). Flexible learning in a digital world: Experiences and expectations. London and New York: Routledge, Taylor & Francis Group.
Compeau, D., & Higgins, C. (1995). Computer self efficacy: Development of a measure and initial test. Management Information Systems Quarterly, 19(1), 9.
Google Scholar
Demir, O. (2015). The investigation of e-learning readiness of students and faculty members: Hacettepe University Faculty of Education example [Master Thesis]. Ankara: Hacettepe University.
Google Scholar
Diep, A. N., Zhu, C., Struyven, K., & Blieck, Y. (2017). Who or what contributes to student satisfaction in different blended learning modalities? British Journal of Educational Technology, 48(2), 473–489.
Article
Google Scholar
Duphorne, P. L., & Gunawardena, C. N. (2005). The effect of three computer conferencing designs on critical thinking skills of nursing students. American Journal of Distance Education, 19(1), 37–50.
Article
Google Scholar
Dziuban, C., & Moskal, P. (2001). Evaluating distributed learning in metropolitan universities. Metropolitan Universities, 12(1), 41–49.
Google Scholar
Fahnoe, C., & Mishra, P. (2013). Do 21st century learning environments support self-directed learning? Middle school students’ response to an intentionally designed learning environment. In Society for information technology & teacher education international conference, (pp. 3131–3139). Chesapeake: Association for the Advancement of Computing in Education (AACE).
Fairchild, A. J., Jeanne-Horst, S., Finney, S. J., & Barron, K. E. (2005). Evaluating existing and new validity evidence for the academic motivation scale. Contemporary Educational Psychology, 30(3), 331e358.
Article
Google Scholar
Felder, R. M., Woods, D. R., Stice, J. E., & Rugarcia, A. (2000). The future of engineering education II. Teaching methods that work. Chemical Engineering Education, 34(1), 26–39.
Google Scholar
Findik, C., & Ozkan, S. (2013). A model for instructors’ adoption of learning management systems: Empirical validation in higher education context. Turkish Online Journal of Educational Technology, 12(2), 13–25.
Google Scholar
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
Google Scholar
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.
Article
Google Scholar
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., et al. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410e8415.
Article
Google Scholar
Garrison, D. R., & Akyol, Z. (2015). Toward the development of a metacognition construct for communities of inquiry. The Internet and Higher Education, 24, 66–71.
Article
Google Scholar
Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2–3), 87–105.
Google Scholar
Garrison, D. R., & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. The Internet and Higher Education, 10(3), 157–172.
Article
Google Scholar
Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. The American Journal of Distance Education, 19(3), 133–148.
Article
Google Scholar
Garrison, R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. Internet and Higher Education, 7, 95–105.
Article
Google Scholar
Gilbert, N., & Driscoll, M. (2002). Collaborative knowledge building: A case study. Educational Technology Research and Development, 50, 59–79.
Article
Google Scholar
Graham, C. R. (2013). Emerging practice and research in blended learning. In Handbook of distance education, (vol. 3, pp. 333–350).
Graham C.R. 2013. Emerging practice and research in blended learning. In M.G. Moore (Ed), Handbook of distance education (3rd ed). New York. Routledge.
Google Scholar
Gulek, J. C., & Demirtas, H. (2005). Learning with technology: The impact of laptop use on student achievement. Journal of Technology, Learning, and Assessment, 3(2).
Hafiz, B., & Shaari, J. A. N. (2013). Confirmatory factor analysis (CFA) of first order factor measurement model-ICT empowerment in Nigeria. International Journal of Business Management and Administration, 2(5), 081–088.
Google Scholar
Hao, Y. (2016). Exploring undergraduates’ perspectives and flipped learning readiness in their flipped classrooms. Computers in Human Behavior, 59, 82–92.
Article
Google Scholar
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 1–16.
Hong, C., Hwang, M., Liu, H., & Chen (2014). Using a “prediction- observationexplanation” inquiry model to enhance student interest and intention to continue science learning predicted by their internet cognitive failure. Computers & Education, 72, 110e120.
Google Scholar
Horton, W. (2006). E-learning by design. San Francisco: Pfeiffer.
Google Scholar
Hwang, A., & Arbaugh, J. B. (2006). Virtual and traditional feedback-seeking behaviors: Underlying competitive attitudes and consequent grade performance. Decision Sciences Journal of Innovative Education, 4, 1–28.
Article
Google Scholar
Jossberger, H., Brand-Gruwel, S., Boshuizen, H., & Wiel, M. (2010). The challenge of self-directed and self-regulatSed learning in vocational education: A theoretical analysis and synthesis of requirements. Journal of Vocational Education and Training, 62(4), 415e440.
Article
Google Scholar
Ke, F. (2010). Examining online teaching, cognitive, and social presence for adult students. Computers & Education, 55, 808–820.
Article
Google Scholar
Khan, I. M. (2009). An analysis of the motivational factors in online learning. Doctoral dissertation. Arizona: University of Phoenix.
Google Scholar
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in massive open online courses. Computers & Education, 104, 18–33.
Article
Google Scholar
Law, K. M., & Breznik, K. (2017). Impacts of innovativeness and attitude on entrepreneurial intention: Among engineering and non-engineering students. International Journal of Technology and Design Education, 27(4), 683–700.
Article
Google Scholar
Law, K. M., & Geng, S. (2018). How innovativeness and handedness affect learning performance of engineering students? International Journal of Technology and Design Education, 1–18. https://doi.org/10.1007/s10798-018-9462-3
Law, K. M., Lee, V. C., & Yu, Y. T. (2010). Learning motivation in e-learning facilitated computer programming courses. Computers & Education, 55(1), 218–228.
Article
Google Scholar
Lee, C. B., & Teo, T. (2010). Fostering self-directed learning with ICT. In C. S. Chai, & Q. Wang (Eds.), ICT for selfdirected and collaborative learning, (pp. 39–51). Singapore: Pearson.
Google Scholar
Lee, K., Tsai, P. S., Chai, C. S., & Koh, J. H. L. (2014). Students’ perceptions of self-directed learning and collaborative learning with and without technology. Journal of Computer Assisted Learning, 30(5), 425–437.
Article
Google Scholar
Lim, D. H. (2004). Cross cultural differences in online learning motivation. Educational Media International, 41(2), 163e173.
Article
MathSciNet
Google Scholar
Littlejohn, A., & Pegler, C. (2007). Preparing for blended e-learning. London: Routledge.
Book
Google Scholar
Liu, Y., Li, H., & Carlsson, C. (2010). Factors driving the adoption of m-learning: An empirical study. Computers & Education, 55(3), 1211–1219.
Article
Google Scholar
Long, H. B. (1994). Resources related to overcoming resistance to self-direction in learning. New Directions for Adult and Continuing Education, 64, 13–21.
Article
Google Scholar
Lynch, R., & Dembo, M. (2004). The relationship between self-regulation and online learning in a blended learning context. The International Review of Research in Open and Distributed Learning, 5(2). https://doi.org/10.19173/irrodl.v5i2.189
Martyn, M. (2003). The hybrid online model: Good practice. Educause Quarterly, 1, 18–23.
Google Scholar
Milligan, C., & Littlejohn, A. (2014). Supporting professional learning in a massive open online course. The International Review of Research in Open and Distributed Learning, 15(5). https://doi.org/10.19173/irrodl.v15i5.1855
Moftakhari, M. M. (2013). Evaluating e-learning readiness of faculty of letters of Hacettepe. Master thesis. Ankara: Hacettepe University.
Google Scholar
Mtebe, J. S., & Raisamo, R. (2014). Challenges and instructors’ intention to adopt and use open educational resources in higher education in Tanzania. International Review of Research in Open and Distance Learning, 15(1), 249–271.
Article
Google Scholar
Ngan, S. C., & Law, K. M. (2015). Exploratory network analysis of learning motivation factors in e-learning facilitated computer programming courses. The Asia-Pacific Education Researcher, 24(4), 705–717.
Article
Google Scholar
Parasuraman, A. (2000). Technology readiness index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.
Article
Google Scholar
Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of Service Research, 18(1), 59–74.
Article
Google Scholar
Piskurich, G. M. (2003). Preparing learners for e-learning. San Francisco: Wiley.
Google Scholar
Porter, W. W., Graham, C. R., Bodily, R. G., & Sandberg, D. S. (2016). A qualitative analysis of institutional drivers and barriers to blended learning adoption in higher education. The Internet and Higher Education, 28, 17–27.
Article
Google Scholar
Prensky, M. (2001). Digital natives, digital immigrants part 1. On the horizon, 9(5), 1–6.
Article
Google Scholar
Rovai, A. P., & Jordan, H. (2004). Blended learning and sense of community: A comparative analysis with traditional and fully online graduate courses. The International Review of Research in Open and Distributed Learning, 5(2). https://doi.org/10.19173/irrodl.v5i2.192
Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education, 62, 24e31.
Article
Google Scholar
Sanchez, G. (2013). PLS path modeling with R. Berkeley: Trowchez editions, (p. 383).
Google Scholar
Shea, P., & Bidjerano, T. (2009). Community of inquiry as a theoretical framework to foster “epistemic engagement” and “cognitive presence” in online education. Computers & Education, 52(3), 543–553.
Article
Google Scholar
Shea, P., Hayes, S., Vickers, J., Gozza-Cohen, M., Uzuner, S., Mehta, R., et al. (2010). A re-examination of the community of inquiry framework: Social network and content
Google Scholar
Shea, P., Li, C. S., Swan, K., & Pickett, A. (2005). Developing learning community in online asynchronous college courses: The role of teaching presence. Journal of Asynchronous Learning Networks, 9(4), 59–82.
Google Scholar
Shouping, H., & Kuh, G. D. (2001). Computing Experience and Good Practices in Undergraduate Education: Does the Degree.of Campus" Wiredness" Matter?. Education Policy Analysis Archives, 9(49).
Stockwell, B. R., Stockwell, M. S., Cennamo, M., & Jiang, E. (2015). Blended learning improves science education. Cell, 162(5), 933–936.
Article
Google Scholar
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of market research, 1–40.
Tabor, S. (2007). Narrowing the distance: Implementing a hybrid learning model for information security education. The Quarterly Review of Distance Education, 8(1), 47–57.
MathSciNet
Google Scholar
Teo, T., Tan, S. C., Lee, C. B., Chai, C. S., Koh, J. H. L., Chen, W. L., & Cheah, H. M. (2010). The self-directed learning with technology scale (SDLTS) for young students: An initial development and validation. Computers & Education, 55, 1764–1771.
Article
Google Scholar
Tullis, J. G., & Benjamin, A. S. (2011). On the effectiveness of self-paced learning. Journal of Memory and Language, 64(2), 109–118.
Article
Google Scholar
Vanslambrouck, S., Zhu, C., Lombaerts, K., Philipsen, B., & Tondeur, J. (2018). Students’ motivation and subjective task value of participating in online and blended learning environments. The Internet and Higher Education, 36, 33–40.
Article
Google Scholar
Vaughan, N. (2007). Perspectives on blended learning in higher education. International Journal on ELearning, 6(1), 81–94.
Google Scholar
Wang, Y., Wu, M., & Wang, H. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118.
Article
MathSciNet
Google Scholar
Williams, E. A., Duray, R., & Reddy, V. (2006). Teamwork orientation, group cohesiveness, and student learning: A study of the use of teams in online distance education. Journal of Management Education, 30, 592–616.
Article
Google Scholar
Yilmaz, R. (2016). Knowledge sharing behaviors in e-learning community: Exploring the role of academic self-efficacy and sense of community. Computers in Human Behavior, 63, 373e382.
Google Scholar
Zimmerman, B. J. (2000). Attaining self-regulation: A social-cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation, (pp. 13–39). San Diego: Academic.
Chapter
Google Scholar